Description Usage Arguments Details Value
View source: R/correlationMethExprs.R
Estimates the correlation between methylation and expression. When there are known variables that affect methylation and/or expression, their effect can be substracted using a linear model and then the residuals are used.
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multiset |
|
meth_set_name |
Character vector with the name of the |
exprs_set_name |
Character vector with the name of the |
vars_meth |
Character vector with the names of the variables that will be used to obtain the methylation residuals. By default, none is used and residuals are not computed. |
vars_exprs |
Character vector with the names of the variables that will be used to obtain the expression residuals. By default, none is used and residuals are not computed. |
sel_cpgs |
Character vector with the name of the CpGs used in the analysis. If empty, all the CpGs of the methylation set will be used. |
flank |
Numeric with the number of pair bases used to define the cpg-expression probe pairs. |
betas |
If |
num_cores |
Numeric with the number of cores to be used. |
verbose |
Logical value. If TRUE, it writes out some messages indicating progress. If FALSE nothing should be printed. |
For each cpg, a range is defined by the position of the cpg plus the flank parameter
(upstream and downstream). Only those expression probes that are entirely in
this range will be selected. For these reason, it is required that the ExpressionSet
contains a featureData with the chromosome and the starting and ending positions
of the probes.
Data.frame with the results of the linear regression:
cpg: Name of the cpg
exprs: Name of the expression probe
beta: coefficient of the methylation change
se: standard error of the beta
P.Value: p-value of the beta coefficient
adj.P.Val: q-value computed using B&H
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